Abstract
The general structural design and operation process of the existing electromagnetic railgun (EMRG) simulation tools are defective. Aiming to solve the problems, including functional singleness, poor extensibility and inflexibility, the EMRG exterior ballistics simulation and data analysis tool is designed and developed in this paper. Firstly, in order to realize its functions, the requirement analysis of exterior ballistics simulation and data analysis is presented and the overall structural design and operation process of this tool are obtained. Secondly, this comprehensive tool is developed by Microsoft Visual Studio 2010, and based on the modularization theory, the tool realizes exterior ballistics simulation according to the six-DOF model, applications in various data analysis methods and report generation, etc. Finally, the application case shows that the tool can meet the requirement of the simulation and data analysis of the EMRG exterior ballistics and it is easy to operate. Therefore, the tool has significance to the study of the EMRG exterior ballistics.
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References
Fan, C.-Z., Wang, W.-K.: The development of electromagnetic railgun. J. Yanshan Univ. 31(5), 377–386 (2007)
Wang, H.-J., Cao, Y.-J., Wang, C.-X.: Review of the development of the electromagnetic railgun in the United States Navy. Ship Sci. Technol. 32(2), 138–143 (2010)
Luan, W.-P., She, Y.-X., Wang, B.: AMI Data Analysis Method. J. Chin. Electr. Eng. 35(1), 25–36 (2015)
Sobol, I.M.: Theorems and examples on high dimensional model representation. Reliab. Eng. Syst. Saf. 79(2), 187–193 (2003)
Cukier, R.I., Fortuin, C.M., Shuler, K.E.: Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. Chem. Phys. 59, 3873–3878 (1973)
Saltelli, A., Tarantola, S., Chan, K.P.S.: A quantitative model independent met hold for global sensitivity analysis of model output. Technometrics 41, 39–56 (1999)
Morris, M.D.: Factorial sampling plans for preliminary computational experiments. Technometrics 33, 161–174 (1991)
Yi, F.: Linear return analyzed with MATLAB. Softw. Tech. 23(1), 68–69 (2004)
Yang, X.-y.: Discussion of variance analysis: the single factor variance analysis. Exp. Sci. Technol. 11(1), 41–43 (2013)
Lv, D.-l., Cao, Z.-y., Deng, B., Wang, Y.-f.: Application of variance analysis in model validation. Comput. Simul. 23(8), 46–48 (2006)
Nie, H.-z., Nie, S., Qiao, Y., Lv, P.: Comprehensive decision-making of alternative transmission network planning based on principal component analysis. Power Syst. Technol. 34(6), 134–138 (2010)
Sun, Y.: An empirical study on the influencing factors of customer life cycle based on canonical correlation analysis. J. Anhui Polytechnic Univ. 26(3), 80–83 (2011)
Bologna, M., Marracci, M., Micheletti, R., et al.: Resonant shield concept as alternative solution inrailguns. In: 2014 17th International Symposium on Electromagnetic Launch Technology (EML), pp. 1–5. IEEE (2014)
McNab, I.R.: Minimization of the input power for a long railgun. IEEE Trans. Magn. 39(1), 498–500 (2003)
McNab, I.R., Crawford, M.T., Satapathy, S.S., et al.: IAT armature development. IEEE Trans. Plasma Sci. 39(1), 442–451 (2011)
Xiao-bing, S.: Research on firing accuracy analysis and evaluation techniques of electromagnetic railgun exterior ballistic, pp. 7–29. Harbin Institute of Technology (2015)
Ling-yun, L.: Research on sensitivity analysis methods and tool based on simulation experiments, pp. 7–16. Harbin Institute of Technology (2013)
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© 2016 Springer Science+Business Media Singapore
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Qi, D., Ma, P., Shang, X. (2016). Design and Application of Exterior Ballistics Simulation and Data Analysis Tool for EMRG. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-10-2666-9_59
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DOI: https://doi.org/10.1007/978-981-10-2666-9_59
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